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A prompt in a filter will ask the user that runs the report to supply a value to be used in the filter criteria A prompt can be used in a filter with Usage set to Always, but if the Usage is set to Optional, then the user can supply a value for the filter or the user can choose not to supply a value, in which case the filter will not be applied While you can add a prompt filter in your query subject, remember that the report user will be prompted every time he or she runs a report that uses any item from that query subject That is why we rarely put the prompt filter into the query subject If necessary in a particular report, a prompt filter can be added in Report Studio, as was covered earlier in this book The third filter usage setting is Design Mode Only Design mode filters can be used when testing a query subject by applying them on the Test Setting tab of the Options dialog, discussed earlier in this chapter Also, the design mode filter can be employed in Query Studio or Report Studio to get only a test sampling of the results

The degree or percentage of saturation is the humidity ratio w of a moist air sample divided by the humidity ratio ws of saturated air at the same temperature and pressure w ws (191)

TIP If a query subject will return lots of rows and potentially be slow to respond, you can help your

As you can see in Listings 37-1 and 37-2, SOAP messages are usually encapsulated in HTTP requests and responses The data itself is an XML document and is encapsulated inside an XML envelope defining the routing and messaging information Listing 37-2: Example SOAP message: reponse HTTP/11 200 OK Content-Type: text/xml; charset="utf-8" Content-Length: 423

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Query Studio and Report Studio users more rapidly develop their queries by applying a design mode filter Determine the criteria that will limit the results and speed up the query, and put those criteria in your design mode filter If the user accesses a query subject with a design mode filter, he or she can choose the Run With Limited Data option, which will activate the design mode filters If there are no design mode filters, running the query or report with limited data will have the same effect as running it with all data

<SOAP-ENV:Envelope xmlns:SOAP-ENV="http://schemasxmlsoaporg/soap/envelope/" SOAP-ENV:encodingStyle="http://schemasxmlsoaporg/soap/encoding/"> 678

Before we get into how to set determinants on the Determinant tab of the Query Subject Definition dialog, available on data source and model query subjects, we need to explain what determinants do The main purpose of determinants in a query subject is to specify the granularity at which other related query subjects might be joined We will cover how to create relationships in the next section, but if you are creating query subjects in Framework Manager, you probably already understand enough about how tables are joined in a database query to understand determinants When you join from one table to another with a relationship in Cognos 8, you match one or more columns in one query subject with one or more columns in another Sometimes, though, the data in one of the joined tables references a column that is not at the lowest level of granularity and can have the same value repeated This would cause the joined table to match the same row to multiple rows, causing data to be over-counted The best way to illustrate this situation is by example, which will help to point out the necessity and effect of determinants Say we have sales of products down to the product level, but we forecast only to the product type level For instance, within our Golf Equipment

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<SOAP-ENV:Body> <viryanet:CreateCall xmlns:viryanet="http://viryaviryanetcom/servlet/ ApiRepository"> <problemDescription type="STRING"> <![CDATA[BURNING SMELL]]> </problemDescription> <warrantyFlag type="BOOLEAN">false</warrantyFlag> <subContractorFlag type="BOOLEAN">false</subContractorFlag> <replacementTerm type="STRING"> <![CDATA[123123]]> </replacementTerm> <equipmentNumber type="STRING"> <![CDATA[1234]]> </equipmentNumber> <externalSystemId type="STRING"> <![CDATA[2143234324]]> </externalSystemId> <contactName type="STRING"> <![CDATA[Jane Doe]]> </contactName> <site type="STRING"> <![CDATA[ML1]]> </site> <repeatCallFlag type="BOOLEAN">false</repeatCallFlag> <responseOriginalValue type="STRING"> <![CDATA[12]]> </responseOriginalValue> <responseTerm type="STRING"> <![CDATA[1]]> 679

Part IV:

SOURCE: Copyright 1985, American Society of Heating, Refrigerating and Air Conditioning Engineers, Inc, wwwashraeorg Abstracted by permission from ASHRAE Handbook, 1985 Fundamentals, Chap 26, Tables 20 and 21 (Subsequent editions provide more extensive data)

product line, we might have two putters with sales in January: the Blue Steel Putter with $300 in sales and the Course Pro Putter with $200 in sales Further, we might have a forecast during that same time period of $400 total for all putter sales If our product query subject has all of our individual putters, then in the PRODUCT_TYPE column we will see the PRODUCT_TYPE of Putter for each putter in the PRODUCT table In our example we have only the two putters to keep it simple (see the following tables) If we model the sales by joining the SALES table to the PRODUCT table, then we will have the sales of the Blue Steel Putter joined to the single row in the PRODUCT table that describes the Blue Steel Putter, and we will have each sales transaction for the Course Pro Putter joined to the single row in the PRODUCT table for that putter However, since our forecast is for product types, if we joined our forecast table to the PRODUCT table by PRODUCT_TYPE, then our one row of forecast will be joined to two rows in the PRODUCT table because we have two items that are both classified as putters

</responseTerm> <serviceWindowTerm type="STRING"> <![CDATA[1]]> </serviceWindowTerm> <centerLogged type="STRING"> <![CDATA[US East]]> </centerLogged> <loanOriginalValue type="STRING"> <![CDATA[12]]> </loanOriginalValue> <node type="LONG">123213</node> <overheadPrice type="FLOAT">120</overheadPrice> <contract type="STRING"> <![CDATA[CONT1]]> </contract> <alertColorCode type="STRING"> <![CDATA[RED]]> </alertColorCode> <subContractorContract type="STRING"> <![CDATA[1]]> </subContractorContract> <phoneNumber type="STRING"> <![CDATA[123-123-1234]]> </phoneNumber> <chargeFlag type="BOOLEAN">false</chargeFlag> <quoteNumber type="INTEGER">1233123123</quoteNumber> <preventiveMaintenanceCallFlag type="BOOLEAN">false</preventiveMaintenanceCallFlag> <acceptFlag type="INTEGER">1</acceptFlag> 680

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